DCGAN is initialized with random weights, so a random code plugged to the network would generate a totally random graphic. Nonetheless, when you might imagine, the network has a lot of parameters that we can tweak, along with the goal is to find a location of these parameters that makes samples generated from random codes seem like the schooling in… Read More